• Journal of Korea Society of Industrial Information Systems
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• v.18 no.3
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• pp.35-46
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• 2013

In order to develop an accurate analytical model for domestic electricity demand forecasting, we propose a prediction method of the electric power demand pattern by combining SMO classification techniques and a dimension reduction conceptualized subspace clustering techniques suitable for high-dimensional data cluster analysis. In terms of electricity demand pattern prediction, hourly electricity load patterns and the demographic and geographic characteristics can be analyzed by integrating the wireless load monitoring data as well as sub-regional unit of census information. There are composed of a total of 18 characteristics clusters in the prediction result for the sub-regional demand pattern by using census information and power load of Seoul metropolitan area. The power demand pattern prediction accuracy was approximately 85%.

• Survey Research
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• v.11 no.3
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• pp.1-18
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• 2010

How much do people living in different communities vary in their survey responses? A few studies have examined the effect of the social environment on survey response. Making generalizations from these studies by looking at the effect of social environment on survey response is complicated due to differences in survey dimensions, including incentives, survey mode, types of response rates, and geographic levels. Using the 2000 Census Final Response Rates(CFRR) and the 2002 General Social Survey Response Rates(GSSRR) linked with the 2000 Census in the United States, we attempt to understand how community characteristics associated with survey cooperation vary between data sets. We found that people living in poor area are less likely to cooperate with the Census but more likely to cooperate with GSS, while people living in an area with more minors under 18 is more likely to cooperate with both Census and the GSS. By using two data sources with contrasting survey dimensions within the United States, our findings have implications for survey field operations and hopefully will invigorate studies about response rates in a Korean context.

• Survey Research
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• v.7 no.1
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• pp.109-129
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• 2006

This paper describes how the National Statistics Office Prepared Population and Housing Census in 2005. We focus on the methods of identifying living quarters and determining the enumeration districts. In the absence of the supports of the regional administrative offices, caused by the regulation change in 1999, the NSO devised several new techniques, such as using previous census DB, administrative records, GIS, and etc.. However, not-well-organized administrative system of the regional offices, particularly in terms of the use of IT technology, becomes one of the major bottleneck for identifying living quarters. In order for better preparation of Census, we seem to concern about not only the NSO's efforts to improve survey methods, but also the administrative system of the regional offices. This may indicates that we are at the stake of moving towards a more networked administrative system beyond the present organizational boundaries.

• Journal of the Institute of Convergence Signal Processing
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• v.13 no.1
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• pp.12-18
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• 2012

Stereo correspondence is the central problem of stereo vision. In this paper, we propose a stereo matching scheme based on a genetic algorithm using a multi-resolution method and AD-Census. The proposed approach considers the matching environment as an optimization problem and finds the disparity by using a genetic algorithm And adaptive chronosome structure using edge pixels and crossover mechanism are employed in this technique. A cost function is composes of certain constraints whice are commonly used in stereo matching. AD-Census measure is applied to reduce disparity error. To increase the efficiency of process, we apply image pyramid method to stereo matching and calculate the initial disparity map at the coarsest resolution. Then initial disparity map is propagated to the next finer resolution, interpolated and performed disparity refinement using local feature vector. We valid our method not only reduces the search time for correspondence compared with conventional GA-based method but also ensures the validity of matching.

• The Journal of Fisheries Business Administration
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• v.48 no.4
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• pp.11-25
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• 2017

The purpose of the study is to analyze the status and trend of less favored condition of fishing village in Korean island regions using the census of agriculture, forestry and fisheries. The less favored condition was measured as the difference in accessibility to major services and in fishery sales and resident infrastructure, applying the difference-in-difference method and propensity score matching method respectively. The result shows that access to major services has improved in island area between 2010 and 2015, implying that related policies such as the island comprehensive development project have been successful to some extent. However, some educational facilities, cultural facilities, and health facilities still have low inaccessibility and fishery sales are also significantly lower than in general area. This suggests that it is necessary to maintain related policies like the direct payment of fisheries.

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.755-762
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• 2015

One of the main objectives of the U.S. Census Bureau is the proper estimation of median household income for small areas. These estimates have an important role in the formulation of various governmental decisions and policies. Since direct survey estimates are available annually for each state or county, it is desirable to exploit the longitudinal trend in income observations in the estimation procedure. In this study, we consider Fay-Herriot type small area models which include time-specific random effect to accommodate any unspecified time varying income pattern. Analysis is carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. We have evaluated our estimates by comparing those with the corresponding census estimates of 1999 using some commonly used comparison measures. It turns out that among three types of time-specific random effects the small area model with a time series random walk component provides estimates which are superior to both direct estimates and the Census Bureau estimates.

• The Korean Journal of Community Living Science
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• v.25 no.3
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• pp.339-347
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• 2014

This paper was examined socio-demographic characteristics influencing married women's fertility plans in Korea. Few studies have focused on fertility plans by using census data, and therefore this study employs 2010 census 2% sample data. It focuses on differential characteristics influencing not only whether women have plans for additional children but also how many additional children women plan to have. Women's age, age at marriage, employment status, number of children, and number of sons are consistently associated with their fertility plans and planned number of additional children. The educational level is positively related to plans for additional children for both men and women, and the effect weakens or disappears with an increase in the planned number of additional children. The result showing consistent positive effect of the number of sons reflects son preference in Korea. Positive effects of women's high educational attainment and employment status on fertility plans may reflect the importance of economic stability but requires further research.

• The Korean Journal of Applied Statistics
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• v.7 no.2
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• pp.249-261
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• 1994

The purpose of this research is to obtain a Simple Logistic Curve for the curve fitting of Korean total Population. Based on the population census data from 1949 to 1990, the parameters are estimated by 3-group method. As the results, intercensal populations of Korea from 1950 to 190 are estimated, and Korean total populations from 1991 to 2010 A.D. are projected. And we also can suggest the upper asymptote 58, 616 thousands of Korean total population.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1559-1562
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• 2015

최근 3 차원 깊이 정보를 활용하는 분야가 많아짐에 따라, 정확한 깊이 정보를 추출하기 위한 연구가 계속 진행되고 있다. 특히 ASW(Adaptive Support Weight)는 기존의 영역 기반 알고리즘의 정확도를 향상시키기 위한 방법으로 많이 이용되고 있다. 그 중에서 ACT(Adaptive Census Transform)는 폐백 영역이나 경계 영역에서 정확도가 낮다는 단점이 있었다. 본 논문에서는 정확한 깊이 맵 (depth map)을 추출하기 위해, 기존의 ACT를 개선한 스테레오 정합 알고리즘을 제안한다. 이는 잡음에 강하고 재사용성이 높은 MSW(Multiple Sparse Windows)를 기반으로, TAD(Truncated Absolute Difference)와 ACT 두 개의 정합 알고리즘을 동시에 사용하여 폐색 영역과 울체의 경계 영역에서 정확도가 낮은 기존의 방법을 개선한다. Middlebury에서 제공하는 영상을 사용한 시뮬레이션 결과는 제안한 방법이 기존의 방법보다 평균적으로 약 1.9% 낮은 에러율(error rate)을 가짐을 보여준다.

• Survey Research
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• v.10 no.3
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• pp.157-172
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• 2009

For a survey research in which the characteristics of the population of interest are investigated from a sample, representativeness of the sampling frame is one of the most important part to be considered. If the sampling frame fails to represent the population properly, statistical procedures based on the even efficient sampling design result in significant nonsampling biases and thus the statistical validities of the results could be damaged. But the construction of the reliable sampling frame that covers the population properly costs money and time and thus the sampling frame based on a census or a large scale survey is often used in practice. For example, the sampling frame based on the population households census is used for many household surveys in Korea. But due to the time difference between the census and a survey of interest, the sampling frame constructed from the census is expected to fail to cover the population of interest. Especially, one could expect a large amount of population and household movement in a large city like Seoul. Thus in our research, we considered the construction of new sampling frame and the procedure of sample selection for 2008 Seoul survey. We analyzed the sampling frame based on 2005 population households census and found that it does not represent the population properly. Thus, we proposed a new sampling frame based on resident registration DB for 2008 Seoul survey. We also proposed the sampling weights and estimator of the population mean based on the sample selected from the newly constructed sampling frame.